Replication data for: Oaxaca-Blinder as a Reweighting Estimator
Principal Investigator(s): View help for Principal Investigator(s) Patrick Kline
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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LICENSE.txt | text/plain | 14.6 KB | 10/11/2019 11:47:AM |
OB.do | text/plain | 2.1 KB | 10/11/2019 11:47:AM |
README.txt | text/plain | 277 bytes | 10/11/2019 11:47:AM |
cps3re74.dta | application/octet-stream | 16 KB | 10/11/2019 11:47:AM |
Project Citation:
Kline, Patrick. Replication data for: Oaxaca-Blinder as a Reweighting Estimator. Nashville, TN: American Economic Association [publisher], 2011. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-11. https://doi.org/10.3886/E112422V1
Project Description
Summary:
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The classic regression based estimator of counterfactual means studied by Ronald Oaxaca (1973) and Alan Blinder (1973) is shown to constitute a propensity score reweighting estimator based upon a linear model for the conditional odds of being treated.
Scope of Project
Subject Terms:
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Treatment Effects;
Propensity Score Reweighting
JEL Classification:
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C21 Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
C21 Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Geographic Coverage:
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United States
Data Type(s):
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survey data;
experimental data
Methodology
Unit(s) of Observation:
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Individual,
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